AI

The Saplings AI MCP Recipe turns your Drupal site into a fully compliant Model Context Protocol (MCP) server by installing and configuring AI Core, AI Agents, the MCP module, and other required dependencies. Once applied, your Drupal installation can talk directly to MCP-aware clients, execute AI functions, and invoke agents, extending your site with a wide range of AI-powered workflows. Drupal’s robust content model and modular architecture make it an ideal MCP server, especially when its content is exposed as resources and combined with AI tools for dynamic content generation and management.

Features

• Installs AI Core, AI Agents, the MCP module, and other necessary modules.
• Configures a general-purpose MCP server to support seamless interaction with connected MCP clients.
• Enables execution of AI functions and invocation of agents from your Drupal site.
• Allows customization so Drupal content can be exposed as MCP resources and used as AI tools for workflow automation.
• Keeps configuration open-ended so you can further tune the MCP module, such as pointing it at different LLM providers or adding custom tools and resources as your use cases grow.

Installation Instructions

1. Preparation
Ensure your Drupal installation is up to date. It is recommended to take a full backup of your site before applying the recipe.

2. Dependencies
Verify that Composer is installed on your server, since several dependencies are managed through it.

3. Install the recipe

Use Composer to install the Saplings AI MCP recipe:

composer require drupal/ai_saplings_mcp

4. Enable the modules

After installation, enable the recipe and its modules using Drush (or through the Drupal admin UI):

drush recipe ../recipes/ai_saplings_mcp

5. Test the configuration

Confirm that your setup is working by connecting an MCP client to your Drupal site and testing basic interactions such as listing resources or invoking a simple tool.

Further Configuration

The recipe provides a sensible default MCP server configuration, but you are encouraged to refine it to match your environment:

• Adjust the MCP server settings provided by the MCP module, including authentication and endpoint options.
• Swap in different LLM backends or AI providers through Drupal’s AI configuration if you prefer alternate models.
• Define additional tools and resources that expose Drupal content, search, or custom workflows to your MCP clients.

Once configured, your Drupal site becomes a powerful, AI-aware MCP server that can plug cleanly into modern LLM tooling.

SiteDash is a new platform designed to give developers, agencies, and site owners a unified view of their entire web presence. It’s currently in development, and you can join the interest list at SiteDash.ai.

What is SiteDash?

SiteDash provides a central dashboard that connects with the core tools used across modern web development. Instead of chasing data across hosting dashboards, code repositories, and third-party services, SiteDash aggregates insights and tracks changes across your Drupal and WordPress sites in one place.

The platform retrieves up-to-date information using the Audit Export Module for Drupal and the Audit Export plugin for WordPress, giving you immediate visibility into site status, configurations, updates, and more.

Who is SiteDash For?

SiteDash is designed to support:

• Freelancers managing multiple client sites
• Agencies balancing large portfolios of Drupal and WordPress projects
• Product and engineering teams that need better visibility and governance
• Site owners who want a single, clear view of their digital assets

If you maintain more than one website, SiteDash is built to give you clarity and confidence.

Key Use Cases

A Unified Dashboard for All Your Sites

Connect your projects and instantly view metadata, configuration details, update status, and integrations from a single, organized interface. No more guessing which spreadsheet, ticket, or wiki page has the “real” information.

LLM-Powered Insights via MCP Integration

SiteDash integrates with modern large language models using an MCP server, allowing AI chatbots and services to run inference across all indexed site data through a single connection. Instead of wiring each service independently, your AI tools access everything through one channel.

This enables powerful scenarios like asking, “Which of our sites need module updates?” and getting an immediate, consolidated answer.

Streamlined Onboarding for Agencies and Development Teams

Many agencies juggle dozens or even hundreds of client sites, often tracked in spreadsheets or internal tools. Every time a new project comes in, someone has to run a detailed audit of the existing site: installed modules or plugins, themes, hosting details, integrations, and potential risks.

SiteDash simplifies that onboarding workflow. Using the Audit Export Module for Drupal and the Audit Export plugin for WordPress, it pulls a rich snapshot of each site and keeps that data up to date automatically.

Paired with the MCP server, an LLM can automate large parts of the onboarding process. Instead of manually hunting through admin screens, you can hand the job to an AI assistant that queries the indexed data and walks you through what matters.

Query Infrastructure with Natural Language

With MCP-backed AI connections, you can query all your sites with a single prompt to an LLM, making it easier than ever to audit configurations, track changes, or identify issues across your entire portfolio.

Connected Tools & Services

SiteDash connects to a growing ecosystem of third-party services used in real-world web operations. You can link code hosts such as GitHub and Bitbucket, Drupal and WordPress hosting platforms like Acquia and Pantheon, CI and preview tools like CircleCI and Tugboat, and project management systems including Jira, ClickUp, Monday.com, and Teamwork.

It also integrates with AI providers like Anthropic and OpenAI, plus everyday tools such as Gmail, Google Calendar, Zoom, Google Drive, analytics and marketing platforms like Google Analytics and HubSpot, and operations tools like Qwilr and UptimeRobot, with many more connections planned as the platform evolves.

How SiteDash Levels Up Operations

Centralized Visibility

All essential information about your sites lives in one interface, reducing context switching and making it easier to spot issues early.

Better Collaboration

Developers, PMs, and stakeholders share a unified source of truth, improving communication and reducing handoff friction.

Smarter Decision Making

With AI-assisted querying and standardized data gathering, teams can diagnose, audit, and plan improvements faster.

Faster Onboarding

New team members gain immediate situational awareness without digging through scattered documentation or multiple logins.

Early Access

SiteDash is actively evolving, and early access is not yet open. Right now, you can join the interest list at SiteDash.ai to be notified as things progress.

The goal is to begin an open alpha testing phase in January 2026, with updates shared along the way as features solidify and integrations expand.